Quality Tools

What, Why and How
The Basic Quality Tools class is a terrific way
to introduce your people to the seven basic tools and techniques in your quality control/assurance toolbox. People
that are new to the quality arena will get a good understanding of what, why and how the techniques fit into their
job. And, why these quality tools are critical to improving quality and lowering costs.
The Seven
Quality Tools
These are
the fundamental quality control (QC) tools. Kaoru Ishikawa, professor of engineering at Tokyo
University, developed the Cause and Effect (fishbone) diagram. He believed these to be
the most important quality control techniques to learn.
The “seven quality control tools”, the “seven old tools” or the “seven basic tools” are also
common names given to the basic quality tools.
1. Cause-and-Effect Diagram
The
Cause-and-Effect diagram (also called Ishikawa or fishbone chart) identifies many possible causes for an effect or
problem and sorts ideas into useful categories. It is an excellent tool to focus a team's efforts on the possible
causes of a problem.
The
Cause-and-Effect diagram can help in brainstorming exercises, as well.
2.
Checksheet
A structured format
for collecting and analyzing data. A checksheet provides a uniform and disciplined method for standardizing data
collection. Checksheets are also a great way to help insure that all steps of an operation are performed in a
specific order and way.
3. Control
Charts
Graphs displaying collected and analyzed process data. Generally for
keeping track of process changes occurring over a specified time. SPC control charts are essential for determining
if a process is statistically stable and capable.
A statistically stable and capable process is predictable in terms of
quality and cost.
4.
Histogram
Another name for a
histogram is frequency distribution. They are similar, but not identical. However, it has become common practice to
use either term. They both show how often individual values occur in a set of
data.
Histograms tell
us the spread of measurements taken from a process. And, the location of the measurements in relationship
to the feature's nominal value. These two measurements are usually called the average/mean and
range.
5. Pareto
Chart
An example of a Pareto
chart is shown at the top of this page.
A Pareto chart is a type of bar graph
showing which issues or problems are more significant. An 80-20 chart is another name for the Pareto
chart.
It is commonly said that "80% of your problems are caused by
20% of all causes." We use a Pareto chart to see our causes and calculate their individual percentage of
contribution to all problems. We then focus our attention on the 20% of causes that are creating 80% of our
problems.
6. Scatter
Diagram
A graph showing the relationship between two variables. One variable on each axis (x and y). If the
variables have an interaction with each other the measurements for each individual variable reacts to the
other.
If the variables have
no relationship, then the measurement for one variable doesn't react when the other one changes. Scatter
diagrams or plots are great for determining which input factors or variables we should focus on
controlling.
7.
Stratification
A method to separate
data to determine if there are patterns in the data. Data points that gather together around a value are said to be
stratified.
The Quality Tools
Class
Do you want to get a handle on those
quality tools and techniques that are used in the Lean and Six Sigma processes? You will learn to
understand and communicate better with your continual improvement team.
Learn in an interactive class environment.
You can have this class presented at your business
for less than $53.00. per person. Travel expenses not included.
Class is a one day.
The course
includes:
1.
Introduction and overview of quality concepts.
2.
The basic quality tools.
3.
Inspection and sampling methods.
4.
Gage control and calibration.
5.
Continual improvement.
6.
Customer satisfaction.
7.
CEU and RU credits awarded.
Additional Resources
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